One or more embodiments include an emotion analysis system for computing and analyzing emotional state of a user. The emotion analysis system acquires, via at least one sensor, sensor data associated with a user. The emotion analysis system determines, based on the sensor data, an emotional state associated with a user. The emotion analysis system determines a first component of the emotional state that corresponds to media content being accessed by the user. The emotion analysis system applies a first function to the emotional state to remove the first component from the emotional state.

A control system of a vehicle that can travel in a first state in which travel control is performed based on a position of a white line on a travel lane and in a second state in which travel control is performed based on a travel position of another vehicle. Periphery information is obtained of the vehicle. It is determined, based on the periphery information obtained, whether an emergency vehicle is approaching. A control unit configured to perform control so that travel control in the first state is prioritized when it is determined that the emergency vehicle is not approaching. Travel control in the second state is prioritized when it is determined that the emergency vehicle is approaching.

A method for operating a vehicle in an automatic driving operation not requiring any user action which can be deactivated by a deactivation action of a driver of the vehicle includes, during the automatic driving operation in a learning phase, driving situations in which the driver deactivates the automatic driving operation are recorded by a surroundings recording device and the recorded driving situations are stored in a memory as subjectively critical driving situations. The method further includes, during an operating phase of the automatic driving operation, comparing a currently recorded driving situation to the stored subjectively critical driving situations and emitting a warning to the driver when the currently recorded driving situation matches one of the stored subjectively critical driving situations within a tolerance range.

The present invention relates to a method, a computing device and a computer-readable medium for dividing and providing a work to workers in crowdsourcing, and more particularly, to a method, a computing device and a computer-readable medium for dividing and providing a work to workers in crowdsourcing, in which, when a work is provided to workers in crowdsourcing, the work is segmented into a plurality of zones, and the work segmented into the zones is provided to a plurality of workers to allow the workers to perform tasks for specific zones of the work, respectively, so that a large-scale work is rapidly processed.

A vehicle includes a computing device configured to detect an object in an external environment via an external sensor. The computing device determines a trajectory for navigation relative the object based on a trust zone. The trust zone is selected based on a trust parameter. The computing device instructs a display device to render a representation of the object and the trajectory relative the object, and determines whether to modify the trust parameter based on feedback data received in response to navigation.

Systems and methods cause a component of a vehicle to activate. The systems and methods receive audio data generated by a microphone of the vehicle, where the audio data represents sound of the component. Based on the audio data, a condition of the vehicle or the component may be determined, and based on the condition, the vehicle may be commissioned for use or decommissioned.

Systems, methods, and techniques for assessing driver safety based on noise levels or sounds associated with the interior of a vehicle are provided. Noise levels or sounds associated with the interior of a vehicle over a first interval of time may be compared to indications of vehicle motion over the first interval of time to identify noise levels or sounds at times when the indications of vehicle motion indicate unsafe driving. The identified noise levels or sounds may be analyzed to determine noise levels, sources, and/or characteristics of sounds associated with unsafe driving. Noise levels or sounds associated with the interior of the vehicle over a second interval of time may be analyzed to determine instances in which the noise levels, sources, and/or characteristics of sounds associated with unsafe driving occur over the second interval of time. Alerts may be generated for vehicle operators based on the determined instances.

System, methods, and other embodiments described herein relate to reducing audible distractions for a driver of a vehicle. In one embodiment, a method includes obtaining audio data based on sound detected inside the vehicle, identifying an audio event based on the audio data, determining a distraction rating for the audio event, the distraction rating indicating an estimated level of distraction caused by the audio event, and generating an alert when the distraction rating exceeds a threshold.

There is provided a signal processing apparatus, a signal processing method for appropriate driving control. The signal processing apparatus includes a safety determination unit that determines safety of a preceding vehicle on a basis of sensor-related information related to a sensor provided in the preceding vehicle, the sensor being relevant to a safety function, and a control signal generation unit that generates, on a basis of a result of the determination of the safety, a control signal for controlling a host vehicle.

Systems and techniques are described for event detection. A described system includes a vehicle body containing body regions, sensors, processor, and memory. The sensors can include at least one sensor positioned about at least one body region of the body regions. The at least one body region can be associated with a region event type. The memory can store instructions thereon that, when executed by the processor, cause the processor to perform operations which can include obtaining data associated with at least one sensor measurement from the at least one sensor, determining that the at least one sensor measurement is associated with the region event type, and determining that an event associated with the region event type occurred based on determining that the at least one sensor measurement is associated with the region event type and that the at least one body region is associated with the region event type.